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366 Statistics and public health researchby mechanistic and biological network data for timely identification of thehealth effects of exposures, such as cigarette smoking, that are not amenableto human experimentation.These are among the most important research needs for the health of thepopulations we serve. These populations are keenly interested in, and highlysupportive of, public health and disease prevention research. Statisticians haveas crucial a role as any other disciplinary group in responding to this interestand trust, and statistical training is highly valuable for participation andleadership roles in shaping and carrying out the needed research.AcknowledgementsThis work was supported by grants CA53996 and CA119171, and contractHHSN268720110046C from the National Institutes of Health.ReferencesAndersen, P.K., Borgan, Ø., Gill, R.D., and Keiding, N. (1993). StatisticalModels Based on Counting Processes. Springer,NewYork.Anderson, G.L., Limacher, M.C., Assaf, A.R., Bassford, T., Beresford, S.A.,Black, H.R., Bonds, D.E., Brunner, R.L., Brzyski, R.G., Caan, B. et al.(2004). Effects of conjugated equine estrogen in postmenopausal womenwith hysterectomy: The Women’s Health Initiative randomized controlledtrial. Journal of the American Medical Association, 291:1701–1712.Cox, D.R. (1972). Regression models and life-tables (with discussion). Journalof the Royal Statistical Society, Series B, 34:187–220.Diabetes Prevention Program Research Group (2002). Reduction in the incidenceof Type 2 diabetes with lifestyle intervention or metformin. NewEngland Journal of Medicine, 346:393–403.Heitmann, B.L. and Lissner, L. (1995). Dietary underreporting by obeseindividuals—Is it specific or non-specific? British Medical Journal,311:986–989.Kalbfleisch, J.D. and Prentice, R.L. (2002). The Statistical Analysis of FailureTime Data, 2nd edition. Wiley, New York.